About me
AI/ML Engineer with 5+ years of hands‑on experience shipping scalable systems in NLP, LLMs, and agentic automation. I’ve built production‑grade RAG chatbots, applicant scoring tools, and intelligent retrieval platforms used by 100+ daily users. I also contribute to ML research in Vision Transformers, Graph Neural Networks, Reinforcement Learning, and Robotics.
My Technical Expertise
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Machine Learning Engineering
Deploying scalable ML/LLM systems in production: RAG, recommendation engines, ATS scoring, NLP pipelines, and real-time inference with observability.
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AI Automation
Agentic automation with multi-agent flows, structured validation, and MCP-backed retrieval that trims latency and cost while improving reliability.
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Knowledge Graphs
Modeling relationships for intelligent retrieval and reasoning via Neo4j/GraphQL integrations and curated graph insights.
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Recommendation Systems
Personalization at scale: vector search, rule-based re-ranking, dynamic multi-filter matching, and session-aware re-scoring.
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Data Engineering
Robust pipelines for crawling, processing, and vectorizing large datasets, supported by Redis caching and observability.
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Quantitative & Financial Modeling
Algorithmic trading, risk modeling, and RL research with legality-aware action masking and custom Gym environments.